Files
nushell/crates/nu-command/src/commands/dataframe/series/strftime.rs
2021-09-10 10:44:22 +12:00

81 lines
2.3 KiB
Rust

use crate::{commands::dataframe::utils::parse_polars_error, prelude::*};
use nu_engine::WholeStreamCommand;
use nu_errors::ShellError;
use nu_protocol::{
dataframe::{Column, NuDataFrame},
Signature, SyntaxShape, UntaggedValue,
};
use nu_source::Tagged;
use polars::prelude::IntoSeries;
pub struct DataFrame;
impl WholeStreamCommand for DataFrame {
fn name(&self) -> &str {
"dataframe strftime"
}
fn usage(&self) -> &str {
"[Series] Formats date based on string rule"
}
fn signature(&self) -> Signature {
Signature::build("dataframe strftime").required("fmt", SyntaxShape::String, "Format rule")
}
fn run(&self, args: CommandArgs) -> Result<OutputStream, ShellError> {
command(args)
}
fn examples(&self) -> Vec<Example> {
vec![Example {
description: "Formats date",
example: r#"let dt = ('2020-08-04T16:39:18+00:00' | str to-datetime -z 'UTC');
let df = ([$dt $dt] | dataframe to-df);
$df | dataframe strftime "%Y/%m/%d""#,
result: Some(vec![NuDataFrame::try_from_columns(
vec![Column::new(
"0".to_string(),
vec![
UntaggedValue::string("2020/08/04").into(),
UntaggedValue::string("2020/08/04").into(),
],
)],
&Span::default(),
)
.expect("simple df for test should not fail")
.into_value(Tag::default())]),
}]
}
}
fn command(mut args: CommandArgs) -> Result<OutputStream, ShellError> {
let tag = args.call_info.name_tag.clone();
let fmt: Tagged<String> = args.req(0)?;
let (df, df_tag) = NuDataFrame::try_from_stream(&mut args.input, &tag.span)?;
let series = df.as_series(&df_tag.span)?;
let casted = series
.date64()
.map_err(|e| parse_polars_error::<&str>(&e, &df_tag.span, None))?;
let res = casted.strftime(&fmt.item).into_series();
let df = NuDataFrame::try_from_series(vec![res], &tag.span)?;
Ok(OutputStream::one(df.into_value(df_tag)))
}
#[cfg(test)]
mod tests {
use super::DataFrame;
use super::ShellError;
#[test]
fn examples_work_as_expected() -> Result<(), ShellError> {
use crate::examples::test_dataframe as test_examples;
test_examples(DataFrame {})
}
}